Senior Applied Scientist, Japan Prime & Marketing
Core
Lead machine learning science for personalization, customer growth, and loyalty optimization for Amazon Prime in Japan.
Role type
Senior Applied Scientist (Marketing & Personalization)
Builds
Personalization systems, points allocation frameworks, and promotional targeting models for millions of Japanese customers.
Domain
E-commerce, Customer Growth, Marketing Science
Deliverable
production ML models
Required skills
machine learning, neural deep learning, causal inference, experimentation design, econometric methods, Java, C++, Python, large-scale ML systems
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, distributed systems, loyalty program strategy, pricing science, peer-reviewed publications
Technologies
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark
Responsibilities
Define and execute science roadmap for personalization and customer growth; design ML models for segmentation, LTV prediction, and churn propensity; build optimization frameworks for points and promotions; apply causal inference and econometrics; develop personalization systems; lead large-scale A/B tests; integrate models into low-latency production systems; mentor junior scientists.
Seniority
Senior, hands-on IC with strategic influence